# cdfExp¶

## Purpose¶

Computes the cumulative distribution function for the exponential distribution.

## Format¶

p = cdfExp(x, loc, m)
Parameters: x (NxK matrix, Nx1 vector or scalar.) – Values at which to evaluate the exponential cdf. $$x > 0$$. loc (NxK matrix, Nx1 vector or scalar) – Location parameter, ExE conformable with x. $$loc < x$$. m (NxK matrix, Nx1 vector or scalar) – Mean parameter, ExE conformable with x. m is the inverse of the rate parameter which is often called $$\lambda$$. $$m > 0$$. p (NxK matrix, Nx1 vector or scalar) – Each element in p is the exponential cdf value evaluated at the corresponding element in x.

## Examples¶

// Vector of values
x = seqa(0, 1, 5);

// Location parameter
loc = 0;

// Mean parameter
m = 1/1.5~1~2;

// Call cdfExp
p = cdfExp(x, loc, m);
print "p = " p;


After above code,

p =
0.0000   0.0000   0.0000
0.7769   0.6321   0.3935
0.9502   0.8647   0.6321
0.9889   0.9502   0.7769
0.9975   0.9817   0.8647


## Remarks¶

The cumulative distribution function for the exponential distribution is defined as

$1−exp⁡(− \frac{x−loc}{m})$

Function pdfExp()